Abstract: Disclosed is a method and corresponding system for assisting an operator in operating a telerobot system. The telerobot system comprises a robot, at least one sensor, a processing unit and an operator interface. First the system physically senses a working area of the robot by the at least one sensor. Based on the sensor information, the system detects objects and estimates at least one of an object property, object state and object relation to another object. Further, the system estimates, for at least one object, an actual scene uncertainty related to the object, and predicts a modified scene uncertainty related to the object assuming a scene modification. Finally, it determines whether the modified scene uncertainty has improved compared to the actual scene uncertainty and, if an improvement is determined, communicates the corresponding scene modification using the operator interface.

Abstract: An apparatus for correcting output impedance of a memory interface driving circuit, the apparatus comprising: a first PD driver including a plurality of first sub PD drivers connected to each other in parallel; a first control unit configured to sequentially change a first control code, the first control code being a combination of control signals for turning the plurality of first sub PD drivers on or off in each pull-down sweep; and a first comparator configured to generate a first output pattern, the first output pattern being a sequence of 0 or 1 representing a result of comparing an output voltage of the first PD driver generated according to the first control code with a first reference voltage, wherein the first control unit determines a first impedance correction code for the memory interface driving circuit from among the sequentially changing first control codes using the first output pattern.

Abstract: Systems, methods, and other embodiments described herein relate to organizing and altering selected images from a style map with learning models through factoring style dimensions. In one embodiment, a method includes generating a style map by transforming and clustering information from an image dataset with a visualization model within a computation space having reduced dimensionality, and the style map includes style features derived from the image dataset. The method also includes comparing images selected from the style map using scores for dimensions associated with semantic attributes to form a comparison map. The method also includes mixing visual styles of the images from the comparison map with a generative model that computes representation interpolations within a latent space, the generative model outputting stylized images in an array. The method also includes communicating the array to a development system.

Abstract: A method and apparatus for transmitting a frame to at least one receiver in a wireless communication system is provided. The apparatus determines at least one data length in accordance with each receiver based on a number of symbol for the frame to be transmitted, determines a maximum data length among the at least one data length, and determines a length of the frame in time domain based on the maximum data length. The apparatus generates the frame in accordance with the length of the frame, the frame including a first signal field and at least one second signal field. The first signal field indicates the length of the frame and each second signal field indicates each data length.

Abstract: An electrical connection device includes a mother board and a daughter board. The mother board includes a first board body with at least one cavity and a first electrical contact printed on the first board body. The daughter board includes a second board body and a second electrical contact printed on the second board body. At least one of the daughter board and the mother board includes at least one contour feature integrally formed with at least one of the first board body and the second board body. When the second board body is inserted into the at least one cavity of the first board body, the second electrical contact is electrically connected to the first electrical contact, and the daughter board is positioned in the mother board through the at least one contour feature.

Abstract: An integrative approach combines a process of adsorption and ozonation which are used for removing the indigo dye from textile wastewater and the regeneration of adsorbent materials. Metal oxide modified adsorbents are efficient dye adsorbent materials for indigo dye wastewater and are used have been developed for adsorption process and regenerated by ozonation process. Upon the regeneration process, the adsorption capacity has been recovered. The synergistic effect of adsorption and ozonation benefit for the efficient dye removal from wastewater and the adsorbent regeneration achieved in an environmentally friendly and cost effective way.

Abstract: Provided is an artificial neural network processing apparatus including: first to fourth submatrix multiplication operators configured to perform a first submatrix multiplication operation and then a second submatrix multiplication operation using eight pieces of input data; a memory mapping unit configured to map at least a portion of the eight pieces of input data to the first to fourth submatrix multiplication operators with a first mapping structure for the first submatrix multiplication operation, and map at least a portion of the eight pieces of input data to the first to fourth submatrix multiplication operators with a second mapping structure for the second submatrix multiplication operation, wherein the first mapping structure and the second mapping structure have different mapping structures; and a controlling unit configured to control the memory mapping unit to be formed with the first mapping structure or the second mapping structure.

Abstract: Provided are an edge gateway system for providing device use and resource sharing suggestions and an operating method thereof. The edge gateway system includes at least one edge gateway and an edge gateway management server connected to the at least one edge gateway. The edge gateway is connected to one or more edge devices and transmits an operation status of the edge gateway and an operation status of the edge devices to the edge gateway management server, the edge gateway management server generates suggestion information to be delivered to a user of the edge gateway based on the operation status of the edge gateway and the operation status of the edge devices, and the suggestion information includes any one of an edge device use suggestion, an edge device sharing suggestion, and an edge gateway service resource sharing suggestion.

Abstract: An optical receiving module assembly is provided. The optical receiving module assembly includes an electric sub-assembly including a printed circuit board (PCB) including an opening portion and an electronic device mounted on the PCB and an optical receiving module including a first optical component mounted on the PCB and a second optical component mounted on the mount which includes a transparent material and is disposed in the opening portion, wherein the electronic device and the second optical component are electrically connected to each other by a mount electrode formed on a surface of the mount.

Abstract: Systems and methods disclosed include identifying a topic and a perspective of an input text to be sent to a receiver, determining a receiver perspective based on the topic of the input text and a receiver persona associated with the receiver, determining, by comparing the perspective of the input text and the perspective of the receiver, whether the input text includes a language having an offensive probability beyond an offensive probability threshold, after determining that the input text includes the language having the offensive probability beyond the offensive probability threshold, providing an option to modify the input text on a user interface of the sender, and modifying the input text to have the offensive probability below the offensive probability threshold when the option is selected.

Abstract: System, methods, and other embodiments described herein relate to coordinating and optimizing prediction by a model using intermediate data and vehicle-to-vehicle (V2V) communications that improves bandwidth utilization. In one embodiment, a method includes processing acquired data, by a subject vehicle using a prediction model, to execute a vehicle task associated with navigating a driving scene. The method also includes extracting processed data according to the acquired data from intermediate activations of layers within the prediction model according to a cooperation model. The method also includes quantifying relevancy of the processed data, for a target vehicle, to select a subset using the cooperation model. The method also includes communicating the subset to a selected vehicle having the prediction model for additional prediction according to the relevancy and available resources to transmit the subset.

Abstract: A vehicle system includes one or more sensors configured to capture aspects of an environment and a computing device. The computing device is configured to receive information about the environment captured by the one or more sensors, determine one or more structures within the environment based on the received information, select a kernel that is parameterized for predicting a vehicle trajectory based on the one or more structures determined within the environment, and perform a convolution of the selected kernel and an array defining the environment, wherein the convolution predicts a future trajectory of a vehicle within the environment.

Abstract: The present invention provides a D-glucaric acid-producing bacterium and a method for producing D-glucaric acid. The present invention is characterized in that D-glucaric acid or a salt thereof is produced from one or more saccharides selected from the group consisting of D-glucose, D-gluconic acid and D-glucuronic acid with catalytic action of a specific alcohol dehydrogenase PQQ-ADH (1) and a specific aldehyde dehydrogenase PQQ-ALDH (2), and that D-glucaric acid or a salt thereof is produced by using a microorganism having the PQQ-ADH (1) and the PQQ-ALDH (2) or a processed product thereof in the presence of the one or more saccharides. The present invention can provide a microorganism having improved productivity of D-glucaric acid to be used for production of D-glucaric acid and a method for efficiently producing D-glucaric acid.

Abstract: An operation method of a first device may comprise: identifying a first MT CC operating in a multiplexing mode among one or more MT CCs formed by an IAB-MT constituting the first device; determining first beam preference information for the first MT CC; transmitting, to a second device which is an upper node of the first device, the first beam preference information; and performing beam-based communications with the second device based on the first beam preference information.

Abstract: A system for producing a depth map can include a processor and a memory. The memory can store a neural network. The neural network can include an encoding portion module, a multi-frame feature matching portion module, and a decoding portion module. The encoding portion module can include instructions that, when executed by the processor, cause the processor to encode an image to produce single-frame features. The multi-frame feature matching portion module can include instructions that, when executed by the processor, cause the processor to process the single-frame features to produce information. The decoding portion module can include instructions that, when executed by the processor, cause the processor to decode the information to produce the depth map. A first training dataset, used to train the multi-frame feature matching portion module, can be different from a second training dataset used to train the encoding portion module and the decoding portion module.

Abstract: Provided are allyl tryptamines, such as asymmetric allyl tryptamines. In some embodiments, such compounds modulate the activity of monoamine receptors and/or monoamine transporters. Also provided are methods for the preparation of allyl tryptamines and pharmaceutical compositions thereof. Methods of using the allyl tryptamines, alone or in combination with other therapeutic agents, are provided. In some embodiments, allyl tryptamines are used to treat CNS disorders, such as mental health conditions and neurodegenerative disorders, or are used for the improvement of mental health or functioning.

Abstract: Provided is a report data convergence analysis method for a disaster response. The method includes receiving first input data including report input data of a reporter, reception input data of a receiver, and report document input data that is prepared by the receiver after a disaster situation ends, storing the first input data in a first database, generating a plurality of first learning models through a learning process based on the first input data stored in the first database, and when the report input data of the reporter is received, performing convergence analysis on the plurality of generated first learning models to provide disaster situation information.

Abstract: A method and corresponding system for creating an annotated object model of a real world object. The method comprises providing an initial object model for an object for which an annotated object model shall be created, predicting properties of the object, visualizing a representation of the object based on the initial object model wherein the predicted object properties are displayed associated with the representation, and obtaining selection information based on at least one of a user gesture, user pointing operation, user speech input, and user gaze perceived by a user perception device. The method determines a portion of the object corresponding to the selection information, receives property information from a user input and associates the input property information with the corresponding portion of the object.

Abstract: A method for self-calibrating alignment between image data and point cloud data utilizing a machine learning model includes receiving, with an electronic control unit, image data from a vision sensor and point cloud data from a depth sensor, implementing, with the electronic control unit, a machine learning model trained to: align the point cloud data and the image data based on a current calibration, detect a difference in alignment of the point cloud data and the image data, adjust the current calibration based on the difference in alignment, and output a calibrated embedding feature map based on adjustments to the current calibration.

Abstract: According to the present invention, an image encoding/decoding method comprises the steps of: performing an intra prediction on a current block so as to generate a prediction block; performing filtering on a filtering target pixel in the prediction block on the basis of the intra prediction mode of the current block so as to generate a final prediction block; and generating a reconstructed block on the basis of a reconstructed differential block corresponding to the current block and on the final prediction block. According to the present invention, image encoding/decoding efficiency can be improved.